You built the Golden Record. Now make it answer back.
Two siloed feeds. One row per REALTOR. A question asked in plain English. That is the hard part, and you already shipped it.
Here is what I heard on our call, drawn out so you can see it. Then where I think an action layer earns its keep on top of MembioSync.
See what I heard ↓- 1Cascade Realty Group$214M
- 2Summit Partners RE$188M
- 3Harbor & Vine$160M
- 4Northgate Homes$142M
- 5Meridian Realty$131M
You married two feeds nobody else could marry.
Listing data on one side. Association data on the other. The professional side of every broker's life: designations, license, ethics and fair-housing training, leadership. Bring them together and you can tell a lot about a REALTOR.
The back end took years and had nothing to do with AI. Now that AI is here, it is super fast. The data was siloed, unstandardized, unique to your corner of real estate. You standardized it. That groundwork is why the next part looks like magic.
MembioSync. The first product where every exec says "I want it."
You demoed it at AEI and RESO and the reception was loud. You are hardening it for production and launching in June. Here is the moment you painted, drawn out.
Natural language on a unified record. The data was always there. Now anyone can ask it a question without knowing SQL.
Every executive who has seen it wants it. Your words. That is demand most founders never get to say out loud.
A little of the Anthropic API, trained on the org. Same rail I build every 100x agent on. The same engine you are already pointed at.
Five people. An outside dev firm. 250,000 agents.
Correct anything that is wrong. This is what I am reading from what you told me.
The team is the ceiling
Five on staff plus a dev firm, serving MLSs with up to a hundred thousand members each. Every bespoke ask lands on those five. Demand is not your constraint. Delivery capacity is.
Every new org is unique
The data was siloed and unstandardized. You hand-built the back end to tame it. Each new MLS brings its own shape, so onboarding the next one is the part that does not yet scale itself.
Answers, not yet actions
MembioSync tells the CEO who is likely to lapse. Someone still writes the win-back. It tells you who fits the class. Someone still drafts the invite. The query layer is done. The action layer is the gap.
MembioSync answers. An action layer acts.
You built the intelligence layer. This is the part I have shipped four times: turning an answer into a finished action, without growing the team. Open a lane.
1
Win back a member about to lapse
From a flag in MembioSync to a sent campaign.
~2 days→90 sechuman reviews, AI drafts
Win back a member about to lapse
2
Onboard a new MLS's data
The siloed, unique feed that takes weeks to tame.
~weeks→daysagent maps, team reviews
Onboard a new MLS's data
3
Let 250K agents self-serve
Not just the CEO at 11pm. Every member.
1 CEO→250Kno new headcount
Let 250K agents self-serve
The answer arrives already acted on.
Four screens that do not exist yet. Each one starts where MembioSync stops.
- ✓member_id → golden.realtor_id
- ✓desig_codes → designations[]
- ✓ethics_dt → coe_completed_at
- ?office_legacy → needs your call
- ✓MLSs + REALTOR associations
- →Trade associations
- →Professional member bodies
- →1.3M 501c orgs, same stack
You built the intelligence layer. I have shipped the action layer four times.
Same playbook every time. One or two people per client, an army of AI agents, the bottleneck gone in weeks, not years. To the same kind of non-technical, slow-to-move buyer you serve.
Button Finance
An AI underwriter for e-disclosures. 10× the origination volume on the same headcount. Nobody fired. They just do more.
Opendoor
The pricing engine and the acquisition flow, automated. How they decide which homes to buy, run by agents.
Fortune / 400 Capital
A couple hundred SFRs a month, auto-underwritten. The agents predict which homes to buy, then buy them.
Home.LLC
My own origination company. I automated all of servicing with AI. I have sat in the operator's chair, not just the vendor's.
She runs my day. She reads every inbound, preps every meeting, drafts every recap, watches every promise. She built this page while we talked. A human chief of staff costs a year and half a million. Yours would be software, pointed at the Golden Record you already own.
The parts I am still chewing on.
You answered a lot today. These are the ones I would rather hear you on than guess at.
Where does MembioSync go after real estate?
1.3M 501c orgs is the bigger map. Which member organization is vertical two?
Where is an action layer a gift, and where a threat?
You are a REACH mentor. You have seen AI land well and blow up. Where is the line for your agents?
What breaks first when MembioSync hits production?
Hardening with five people. Is the pressure on the back end, the data per org, or the support load?
What would have to be true for us to build together?
Your answer decides whether there is a there-there, or whether this was just a good first call.
Opposed to exploring further?
Email or text gets you to me direct. I usually answer same day. No deck, no pitch. Just the next conversation, whenever your June launch gives you air.
2020 Founded Home.LLC, automated servicing, sold
2015 Scaled a staffing company to 130 people, sold
2009 EY, bottom to advising the board in six years